Scalable algorithms for clustering large datasets with mixed type attributes.
Zengyou HeXiaofei XuShengchun DengPublished in: Int. J. Intell. Syst. (2005)
Keyphrases
- synthetic and real datasets
- synthetic datasets
- data mining tasks
- benchmark datasets
- learning algorithm
- computational cost
- uci machine learning repository
- clustering approaches
- optimization problems
- data clustering
- clustering method
- highly scalable
- database
- data mining algorithms
- information theoretic
- single link
- agglomerative hierarchical clustering
- single pass
- highly efficient
- worst case
- data points
- significant improvement
- data mining